Teaching Machines to Understand People, Toovio Forays in Indian Market

  • Toovio platform combines Big Data, Machine Predictive Modeling and Real-time Decision Management
  • India Business Intelligence and Analytics Software Revenue to Reach $287 Million in 2018, expected to growth of over 20% YOY while overall software industry is growing at steady pace of 10-11% YOY.

Toovio, a leading data technology company which helps enterprises to boost revenue, improve profitability, and increase customer engagement by taking action based on real-time based customer behavior insights, today announced its entry and direct presence in the fast-growing India market. Toovio is a SaaS-based marketing solution provider focused on enabling multi-channel offer orchestration, built from the most sophisticated decisioning framework and capable of managing the complete customer life cycle. Toovio assists a range of industries in driving profitable business between the organization and its customers.

Ashutosh Mehrotra, Business Head at Toovio Software said, “As businesses head towards the modern age of analytics, we are excited to officially introduce ‘Toovio’ in India. We envision teaching machines to understand people. Specifically, to teach machines to customer behavior and understand marketers’ strategy, tactics and objectives so it may better apply advanced data technology solutions that are consumable and deployable by organizations at large. Toovio values stand tall as we judge ourselves by quality, speed and the cost of applying data technology solutions.”

Toovio is committed to provide zero-cost based deployment, short time to value, most trusted, truly scalable, cutting edge technology for wireless telecommunications, retail, banking, healthcare, and other consumer-based companies. Toovio is backed with global expertise of implementation of over 45+ real time decisioning platform.

Toovio brings to Indian organizations its core expertise in four domains for handling data analytics & decisioning platform in real time across the enterprises. 

  1. Data Cultivation: Amalgamating the structured & unstructured data from multiple source and breaking down the data in ready to use/ business viable information state.
  2. Feature Engineering: Using domain knowledge of the data to create features that make machine learning algorithms work
  3. Adaptive Predictive Modeling: Every decision, every customer, and every single offer should be accompanied by a prediction that is consistently accurate and automatically adapts to changes to underlying data correlations. This capability operates with no human intervention.
  4. Decisions: Filter choices/offers, score and derive necessary data at run time and then make the best decision.

Ashutosh Mehrotra further added, “Our mission is to optimize every customer engagement and revenue metrics through data technology solutions that thrive on three key characteristics: identifiable customers, high frequency transactions, and lots of choices for customers to engage and buy. Toovio engages customers ‘in the moment’ when the propensity of customer purchase is the uttermost.”

 

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